Journals and Conferences

Key Phrases

We investigate how to provide personalized nudges to aid a user’s exploration of linked data in a way leading to expanding her domain knowledge. This requires a model of the user’s familiarity with domain concepts. The paper examines an approach to detect user domain familiarity by exploiting anchoring concepts which provide a backbone for probing… (More)

This paper investigates how a user could be aided to explore linked data in a way leading to expanding her domain knowledge. Earlier work has confirmed that users can gain knowledge while exploring information spaces generated from semantic databases. In such exploration, semantic links can play a key role. However, the learning effect of exploration… (More)

The recent growth of the Web of Data has brought to the fore the need to develop intelligent means to support user exploration through big data graphs. To be effective, approaches for data graph exploration should take into account the utility from a user's point of view. We have been investigating knowledge utility -- how useful the trajectories in a data… (More)

This research investigates how to support the user exploration through big data graphs. Current successful approaches to interactive exploration take into account the utility from a user’s point of view. In this PhD, we are focusing on knowledge utility – how useful the trajectories in a data graph are for expanding user’s domain knowledge. The main goal of… (More)